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            <td width="10%" class="headerItem">Current view:</td>
            <td width="35%" class="headerValue"><a href="../../../index.html">top level</a> - <a href="index.html">src/caffe/layers</a> - argmax_layer.cpp<span style="font-size: 80%;"> (source / <a href="argmax_layer.cpp.func-sort-c.html">functions</a>)</span></td>
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            <td width="10%" class="headerCovTableHead">Hit</td>
            <td width="10%" class="headerCovTableHead">Total</td>
            <td width="15%" class="headerCovTableHead">Coverage</td>
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            <td class="headerItem">Test:</td>
            <td class="headerValue">code analysis</td>
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            <td class="headerItem">Lines:</td>
            <td class="headerCovTableEntry">2</td>
            <td class="headerCovTableEntry">52</td>
            <td class="headerCovTableEntryLo">3.8 %</td>
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            <td class="headerItem">Date:</td>
            <td class="headerValue">2020-09-11 22:50:33</td>
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            <td class="headerItem">Functions:</td>
            <td class="headerCovTableEntry">2</td>
            <td class="headerCovTableEntry">10</td>
            <td class="headerCovTableEntryLo">20.0 %</td>
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            <td class="headerValueLeg">            Lines:
            <span class="coverLegendCov">hit</span>
            <span class="coverLegendNoCov">not hit</span>
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<pre class="sourceHeading">          Line data    Source code</pre>
<pre class="source">
<a name="1"><span class="lineNum">       1 </span>            : #include &lt;algorithm&gt;</a>
<span class="lineNum">       2 </span>            : #include &lt;functional&gt;
<span class="lineNum">       3 </span>            : #include &lt;utility&gt;
<span class="lineNum">       4 </span>            : #include &lt;vector&gt;
<span class="lineNum">       5 </span>            : 
<span class="lineNum">       6 </span>            : #include &quot;caffe/layers/argmax_layer.hpp&quot;
<span class="lineNum">       7 </span>            : 
<span class="lineNum">       8 </span>            : namespace caffe {
<span class="lineNum">       9 </span>            : 
<span class="lineNum">      10 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">      11 </span><span class="lineNoCov">          0 : void ArgMaxLayer&lt;Dtype&gt;::LayerSetUp(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,</span>
<span class="lineNum">      12 </span>            :       const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top) {
<span class="lineNum">      13 </span>            :   const ArgMaxParameter&amp; argmax_param = this-&gt;layer_param_.argmax_param();
<span class="lineNum">      14 </span><span class="lineNoCov">          0 :   out_max_val_ = argmax_param.out_max_val();</span>
<span class="lineNum">      15 </span><span class="lineNoCov">          0 :   top_k_ = argmax_param.top_k();</span>
<span class="lineNum">      16 </span><span class="lineNoCov">          0 :   has_axis_ = argmax_param.has_axis();</span>
<span class="lineNum">      17 </span><span class="lineNoCov">          0 :   CHECK_GE(top_k_, 1) &lt;&lt; &quot;top k must not be less than 1.&quot;;</span>
<span class="lineNum">      18 </span><span class="lineNoCov">          0 :   if (has_axis_) {</span>
<span class="lineNum">      19 </span><span class="lineNoCov">          0 :     axis_ = bottom[0]-&gt;CanonicalAxisIndex(argmax_param.axis());</span>
<span class="lineNum">      20 </span><span class="lineNoCov">          0 :     CHECK_GE(axis_, 0) &lt;&lt; &quot;axis must not be less than 0.&quot;;</span>
<span class="lineNum">      21 </span><span class="lineNoCov">          0 :     CHECK_LE(axis_, bottom[0]-&gt;num_axes()) &lt;&lt;</span>
<span class="lineNum">      22 </span>            :       &quot;axis must be less than or equal to the number of axis.&quot;;
<span class="lineNum">      23 </span><span class="lineNoCov">          0 :     CHECK_LE(top_k_, bottom[0]-&gt;shape(axis_))</span>
<span class="lineNum">      24 </span>            :       &lt;&lt; &quot;top_k must be less than or equal to the dimension of the axis.&quot;;
<span class="lineNum">      25 </span>            :   } else {
<span class="lineNum">      26 </span><span class="lineNoCov">          0 :     CHECK_LE(top_k_, bottom[0]-&gt;count(1))</span>
<span class="lineNum">      27 </span>            :       &lt;&lt; &quot;top_k must be less than or equal to&quot;
<span class="lineNum">      28 </span>            :         &quot; the dimension of the flattened bottom blob per instance.&quot;;
<span class="lineNum">      29 </span>            :   }
<span class="lineNum">      30 </span><span class="lineNoCov">          0 : }</span>
<span class="lineNum">      31 </span>            : 
<span class="lineNum">      32 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">      33 </span><span class="lineNoCov">          0 : void ArgMaxLayer&lt;Dtype&gt;::Reshape(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,</span>
<span class="lineNum">      34 </span>            :       const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top) {
<span class="lineNum">      35 </span><span class="lineNoCov">          0 :   int num_top_axes = bottom[0]-&gt;num_axes();</span>
<span class="lineNum">      36 </span><span class="lineNoCov">          0 :   if ( num_top_axes &lt; 3 ) num_top_axes = 3;</span>
<span class="lineNum">      37 </span><span class="lineNoCov">          0 :   std::vector&lt;int&gt; shape(num_top_axes, 1);</span>
<span class="lineNum">      38 </span><span class="lineNoCov">          0 :   if (has_axis_) {</span>
<span class="lineNum">      39 </span>            :     // Produces max_ind or max_val per axis
<span class="lineNum">      40 </span><span class="lineNoCov">          0 :     shape = bottom[0]-&gt;shape();</span>
<span class="lineNum">      41 </span><span class="lineNoCov">          0 :     shape[axis_] = top_k_;</span>
<span class="lineNum">      42 </span>            :   } else {
<span class="lineNum">      43 </span><span class="lineNoCov">          0 :     shape[0] = bottom[0]-&gt;shape(0);</span>
<span class="lineNum">      44 </span>            :     // Produces max_ind
<span class="lineNum">      45 </span><span class="lineNoCov">          0 :     shape[2] = top_k_;</span>
<span class="lineNum">      46 </span><span class="lineNoCov">          0 :     if (out_max_val_) {</span>
<span class="lineNum">      47 </span>            :       // Produces max_ind and max_val
<span class="lineNum">      48 </span><span class="lineNoCov">          0 :       shape[1] = 2;</span>
<span class="lineNum">      49 </span>            :     }
<span class="lineNum">      50 </span>            :   }
<span class="lineNum">      51 </span><span class="lineNoCov">          0 :   top[0]-&gt;Reshape(shape);</span>
<span class="lineNum">      52 </span><span class="lineNoCov">          0 : }</span>
<span class="lineNum">      53 </span>            : 
<span class="lineNum">      54 </span>            : template &lt;typename Dtype&gt;
<span class="lineNum">      55 </span><span class="lineNoCov">          0 : void ArgMaxLayer&lt;Dtype&gt;::Forward_cpu(const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; bottom,</span>
<span class="lineNum">      56 </span>            :     const vector&lt;Blob&lt;Dtype&gt;*&gt;&amp; top) {
<span class="lineNum">      57 </span><span class="lineNoCov">          0 :   const Dtype* bottom_data = bottom[0]-&gt;cpu_data();</span>
<span class="lineNum">      58 </span><span class="lineNoCov">          0 :   Dtype* top_data = top[0]-&gt;mutable_cpu_data();</span>
<span class="lineNum">      59 </span>            :   int dim, axis_dist;
<span class="lineNum">      60 </span><span class="lineNoCov">          0 :   if (has_axis_) {</span>
<span class="lineNum">      61 </span><span class="lineNoCov">          0 :     dim = bottom[0]-&gt;shape(axis_);</span>
<span class="lineNum">      62 </span>            :     // Distance between values of axis in blob
<span class="lineNum">      63 </span><span class="lineNoCov">          0 :     axis_dist = bottom[0]-&gt;count(axis_) / dim;</span>
<span class="lineNum">      64 </span>            :   } else {
<span class="lineNum">      65 </span><span class="lineNoCov">          0 :     dim = bottom[0]-&gt;count(1);</span>
<span class="lineNum">      66 </span>            :     axis_dist = 1;
<span class="lineNum">      67 </span>            :   }
<span class="lineNum">      68 </span><span class="lineNoCov">          0 :   int num = bottom[0]-&gt;count() / dim;</span>
<span class="lineNum">      69 </span><span class="lineNoCov">          0 :   std::vector&lt;std::pair&lt;Dtype, int&gt; &gt; bottom_data_vector(dim);</span>
<span class="lineNum">      70 </span><span class="lineNoCov">          0 :   for (int i = 0; i &lt; num; ++i) {</span>
<span class="lineNum">      71 </span><span class="lineNoCov">          0 :     for (int j = 0; j &lt; dim; ++j) {</span>
<span class="lineNum">      72 </span><span class="lineNoCov">          0 :       bottom_data_vector[j] = std::make_pair(</span>
<span class="lineNum">      73 </span><span class="lineNoCov">          0 :         bottom_data[(i / axis_dist * dim + j) * axis_dist + i % axis_dist], j);</span>
<span class="lineNum">      74 </span>            :     }
<span class="lineNum">      75 </span><span class="lineNoCov">          0 :     std::partial_sort(</span>
<span class="lineNum">      76 </span><span class="lineNoCov">          0 :         bottom_data_vector.begin(), bottom_data_vector.begin() + top_k_,</span>
<span class="lineNum">      77 </span>            :         bottom_data_vector.end(), std::greater&lt;std::pair&lt;Dtype, int&gt; &gt;());
<span class="lineNum">      78 </span><span class="lineNoCov">          0 :     for (int j = 0; j &lt; top_k_; ++j) {</span>
<span class="lineNum">      79 </span><span class="lineNoCov">          0 :       if (out_max_val_) {</span>
<span class="lineNum">      80 </span><span class="lineNoCov">          0 :         if (has_axis_) {</span>
<span class="lineNum">      81 </span>            :           // Produces max_val per axis
<span class="lineNum">      82 </span><span class="lineNoCov">          0 :           top_data[(i / axis_dist * top_k_ + j) * axis_dist + i % axis_dist]</span>
<span class="lineNum">      83 </span><span class="lineNoCov">          0 :             = bottom_data_vector[j].first;</span>
<span class="lineNum">      84 </span>            :         } else {
<span class="lineNum">      85 </span>            :           // Produces max_ind and max_val
<span class="lineNum">      86 </span><span class="lineNoCov">          0 :           top_data[2 * i * top_k_ + j] = bottom_data_vector[j].second;</span>
<span class="lineNum">      87 </span><span class="lineNoCov">          0 :           top_data[2 * i * top_k_ + top_k_ + j] = bottom_data_vector[j].first;</span>
<span class="lineNum">      88 </span>            :         }
<span class="lineNum">      89 </span>            :       } else {
<span class="lineNum">      90 </span>            :         // Produces max_ind per axis
<span class="lineNum">      91 </span><span class="lineNoCov">          0 :         top_data[(i / axis_dist * top_k_ + j) * axis_dist + i % axis_dist]</span>
<span class="lineNum">      92 </span><span class="lineNoCov">          0 :           = bottom_data_vector[j].second;</span>
<span class="lineNum">      93 </span>            :       }
<span class="lineNum">      94 </span>            :     }
<span class="lineNum">      95 </span>            :   }
<span class="lineNum">      96 </span><span class="lineNoCov">          0 : }</span>
<a name="97"><span class="lineNum">      97 </span>            : </a>
<span class="lineNum">      98 </span>            : INSTANTIATE_CLASS(ArgMaxLayer);
<a name="99"><span class="lineNum">      99 </span><span class="lineCov">          3 : REGISTER_LAYER_CLASS(ArgMax);</span></a>
<span class="lineNum">     100 </span>            : 
<span class="lineNum">     101 </span><span class="lineCov">          3 : }  // namespace caffe</span>
</pre>
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